Dipartimento di Informatica – Scienza e Ingegneria (DISI)

Nel lavoro descritto in questa tesi sono stati creati modelli per la manutenzione predittiva di macchine utensili in ambito industriale; in particolare, i modelli realizzati sono stati addestrati sfruttando degli ensemble tree methods con le finalità di: predire il verificarsi di un guasto in macchina con un anticipo tale da permettere l'organizzazione delle squadre di manutenzione; predire la necessità della sostituzione anticipata dell'utensile utilizzato dalla macchina, per mantenere alti gli standard di qualità. Dopo aver dato uno sfondo al contesto industriale in esame, la tesi illustra i processi seguiti per la creazione e l'aggregazione di un dataset, e l'introduzione di informazioni relative agli eventi in macchina. Analizzato il comportamento di alcune variabili durante la lavorazione ed effettuata una distinzione tra cicli di lavorazione validi e non validi, si procede introducendo gli ensemble tree methods e il motivo della scelta di questa classe di algor...

In the emerging ubiquitous Internet scenario users require to access services and contents from anywhere, at anytime and with any device. Due to this requirement, platforms for service and content provisioning have to address several problems related to the new issues of mobility, multimodality, context awareness and content adaptation. However, current ubiquitous service provisioning platforms still suffer a main drawback: they often underestimate platform logic complexity when multiple ubiquity features should be provided. As a result, the proposed solutions lack a unified approach to the ubiquity issues and provide only limited sets of features. We claim that an integrated and comprehensive solution can stem from a simplicity principle: our approach pushes ubiquity features outside the core middleware layer, by keeping only management and coordination responsibilities. That succeeds in making the middleware design clearer and neater. In this paper we present the key architectural aspects of our middleware platform for ubiquitous dynamic context-driven service provisioning and reconfiguration. We also provide implementation details and description of typical use cases our platform successfully realizes.

In the evolving ubiquitous Internet landscape, users are willing to play a more central role by modeling and reshaping the Web experience upon their needs. They begin perceiving and exploiting the Web as a platform to collaboratively create and share contents and to communicate with each other. Moreover, they want to decide how to access services and contents, freeing themselves from traditional fixed PCs and adopting heterogeneous wireless devices such as palmtops, smartphones, wireless-enabled portable audio players and so on. The Internet of services scenario stresses several research fields, from multimodality to mobility, from context awareness to service orientation and coordination. Research achievements, anyway, often tend to evolve separately, leading to ad-hoc solutions for specific sets of problems. We strongly believe that such evolving scenarios require a comprehensive support platform: this paper promotes a novel service-oriented middleware to assist users in the pervasive ubiquitous Internet access. The use cases we describe focus on complex scenarios that, in our opinion, will likely be more and more required in the next years.

Ubiquitous Computing scenarios call for middleware support solutions able to cope with changes in environmental conditions and user requirements. Changes obviously greatly impact on the application logic the middleware is able to carry out (content/service adaptation, multichannel content delivery, mobility management and so on), but also on the non-functional support logic middleware exploits to enforce the application logic itself (e.g., naming, persistence, communication infrastructures). This work proposes a novel middleware for Ubiquitous Computing scenarios that is able to reconfigure both application and non-functional features, in order to cope with increasingly complex and heterogeneous ubiquitous and pervasive landscapes.

Ubiquitous Computing scenarios call for middleware support solutions able to cope with changes in environmental conditions and user requirements. Changes obviously greatly impact on the application logic the middleware is able to carry out (content/service adaptation, multichannel content delivery, mobility management and so on), but also on the non-functional support logic middleware exploits to enforce the application logic itself (e.g., naming, persistence, communication infrastructures). This work proposes a novel middleware for Ubiquitous Computing scenarios that is able to reconfigure both application and non-functional features, in order to cope with increasingly complex and heterogeneous ubiquitous and pervasive landscapes.

ABSTRACT In this paper we introduce an update of our work on developing a distance-learning environment based on a collaborative bookmark management system approach. We introduce EasyInfo, an hybrid recommender architecture extension, which processes resources to extract concepts (not just words) from the documents using semantic capabilities. Then, the classification, recommendation and sharing phases take advantage of the word senses to classify, retrieve and suggest documents with high semantic relevance with respect to the student and resource models.

Route following based on visual landmark matching may require many models to cover all different situations. This paper describes a system that is able to adapt template's modelling parameters to environmental conditions (lighting, shadows, etc.) by a genetic learning technique. In addition, the mobile robot self-localisation is obtained by a stereo approach that uses the centres of matching in the